202 Statistical Programming Jobs - Page 6

Role & responsibilities : Collaborating with cross-functional teams (e.g., clinical researchers, medical experts, data scientists) to design clinical studies and research protocols. Developing statistical analysis plans (SAP), including the identification of primary and secondary endpoints, sample size calculations, and statistical methodologies. Ensuring statistical methods are aligned with regulatory requirements and industry standards, especially in clinical trials. Providing expertise on randomization techniques and adaptive designs. Leading the analysis of complex datasets, including data from clinical trials, epidemiological studies, and observational studies. Ensuring proper data cleaning, transformation, and validation processes are followed to guarantee the integrity of the data. Using advanced statistical software and techniques (e.g., R, SAS, STATA) to perform statistical modeling (e.g., regression models, survival analysis, mixed models). Analyzing and interpreting results, ensuring conclusions are scientifically sound, and communicating findings in a clear, concise manner. Developing and applying advanced statistical methodologies and techniques tailored to specific study needs, such as longitudinal analysis, survival analysis, or Bayesian methods. Assessing and adapting statistical methods as necessary based on emerging data or evolving study designs. Participating in regulatory meetings and discussions, providing statistical justification for study results and approaches. Mentoring and providing guidance to junior biostatisticians and other team members on statistical methodologies, software, and best practices. Developing training materials and conducting workshops on statistical topics for internal teams and collaborators. Ensuring statistical methods and processes are consistent with industry best practices and organizational standards. Conducting quality control procedures on statistical analyses to verify results and ensure accuracy and validity. Preparing statistical reports, manuscripts, presentations, and posters for scientific journals, conferences, and internal stakeholders. Clearly presenting complex statistical results to non-statistical audiences (e.g., clinical or regulatory teams), ensuring the results are understood and actionable. Working closely with other teams, including clinical researchers, project managers, and data scientists, to ensure the alignment of statistical analyses with research objectives. Actively participating in meetings, strategy sessions, and research reviews to provide statistical insights that can influence study direction and design. Translating statistical findings into actionable recommendations for decision-making. Ensuring that statistical analyses comply with ethical standards and regulatory requirements (e.g., Good Clinical Practice (GCP), Good Statistical Practice (GSP)). Supporting the development of ethical guidelines for statistical methodologies, including ensuring patient safety and data confidentiality. Additional Skills: SAS Programming R Programming (Optional) Advanced knowledge of biostatistics, including statistical theory, methods, and applications. Proficiency in statistical software such as SAS, R, and STATA. Strong communication skills, especially in translating complex statistical concepts into practical recommendations. Attention to detail and the ability to ensure the quality and accuracy of analyses. Experience with clinical trials and regulatory submissions is often critical Qualifications: Master's Degree (Preferred): A Master's in Biostatistics, Statistics, Public Health, or a related field is commonly required for many biostatistician roles, especially in CRO, research institutions, pharmaceutical companies, or public health organizations

Job Description : As a biotechnology trailblazer, we're dedicated to discovering, developing, and commercializing cutting-edge gene and cell therapies, and biologics to transform global healthcare. If you're ready to be part of a team that's shaping the future of medicine and making a profound impact on patient lives worldwide, join Ocugen and well rewrite the future of healthcare together. Job purpose : The Statistical Programmer will be responsible for providing statistical services including analysis, interpretation, design, and reporting or communication of data evidence for research, development, and/or marketed product. The individual should be able to ensure application of appropriate statistical methods and generation of accurate and reproducible results through error- free statistical programming in SAS, R and/or other programming languages. This individual will work closely with the Director of Biostatistics, the rest of the team at Ocugen, and CROs to execute the statistical and data needs. Duties and responsibilities : SAS Programming : You'll utilize advanced SAS programming skills to analyze and report clinical trial data (both safety and efficacy). CDISC Standards : Proficiency in CDISC standards (SDTM & ADaM) is essential. You'll generate and validate SDTM and ADaM datasets, as well as create tables, listings, and figures (TLFs). Study Lead: Experience juggling multiple projects simultaneously is preferred. Submission Documents : You'll create and review submission documents and electronic case report forms (eCRTs). Collaboration: Effective communication with cross-functional teams and clients is crucial. Assists the Senior Director of Biometrics in providing statistical consultation for clinical programs, including randomization, sample size assessments, efficacy evaluations, and data review. Develops statistical analysis plans, including textual descriptions of planned analyses and mock-ups of data displays. Provides tabular and written summaries of analyses and statistical methodology. Ensures accurate programming of SAS clinical data extracts and data displays. Develops programming specifications, including analysis datasets and tables/listings/figures. Supports and/or leads programming for analysis datasets, TFLs, or standard tools following standard data models or user requirements. Ensures the integration of data across studies in support of CSS/CSE. Builds, leads, and maintains programming specifications for analysis datasets using tools and methodologies. Supports the creation and validation of submission requirements (e.g., annotated CRF, data export files, define documents). Interfaces with CRO to ensure data and statistical reporting is secure and timely. Proactively identifies risks, developing and implementing mitigation plans as applicable. Participates in study and department meetings, preparing agendas and minutes, and maintaining key decision and action item logs. May assist study teams and departments with financial tracking and reporting, including coordination of CRO, vendor, and site contracts. May assist in developing policies and procedures (SOPs). Additional tasks and projects as requested. Works in a multidisciplinary study team to provide timely and quality support for the analysis and reporting of clinical trials up to regulatory approval, product launch, and annual reports. If applicable, develops and provides department training for applications and standard tools developed by the department functions group. Qualifications : MS. (BS) in Statistics, Computer Science, Mathematics, Engineering, Life Science or related field Typically requires a minimum of 5 years of related experience with a Bachelors degree; or 3 years and a Masters degree SAS programming experience with clinical trial data in the Pharmaceutical & Biotech industry. Expertise: Familiarity with statistical principles, CDISC data, and standards. Proficiency in SAS programming skills in a clinical data environment with excellent analytical skills. Knowledge of other programming languages such as R, Python etc. Good knowledge of pharmaceutical clinical development (i.e., understanding of statistical concepts, techniques, and clinical trial principles). Knowledge of regulatory submissions and requirements is a plus SAS, (Base, Stat, Macro, graph); SAS certificates a plus Demonstrated attention to detail and outstanding organization skills. Self-motivated with a commitment to high quality, on-time deliverables. Excellent communication and collaboration skills with a team-oriented approach. Demonstrated ability to identify and resolve issues and effectively manage timelines. This position operates in an office setting, in person. Remote work will be limited. Job may additionally require incumbent to be available outside of these hours to handle priority business needs. This is a largely sedentary role.

Roles And Responsibilities: Perform review of Protocol, Case Report Forms, annotated Case Report Forms, Statistical Analysis Plan, and mock shell Develop and/or validate SDTM domains and ADaM datasets as per the specifications for both Safety and efficacy Develop and/or validate Tables, Listings, and Figures using SAP and mock shells Create or review P21 reports, define packages [Define.xml] and Reviewers guide [RGs] for CDISC Data Standards Ability to work independently and as part of a team environment Provide the status of assigned tasks to the Study Lead Programmer Actively participating in the study meetings and support as backup lead Identify, communicate, and manage study-based risks and issues within the timeframe Maintain supporting documentation for studies in accordance with SOPs, and Work Instructions (WI) to ensure traceability and regulatory compliance Contribute to the development of Statistical Programming standards and processes to improve the quality, productivity, and efficiency Adhere to learning and developing knowledge on the latest in CDISC Therapeutic standards, GCP, and applicable ICH guidelines Provide guidance, mentoring, and training for junior team members as appropriate.

Roles And Responsibilities: Implementation of statistical programming strategy related to innovation in technologies, automation, processes, and standards to maximize efficiency Support the development and implementation of a programming ecosystem to enable successful project deliverables Review statistical analysis plans, mock-shells, database set-up specifications Validate or Review the Programming packages (includes the aCRFs, specifications and datasets, Define.XML and Reviewers Guides (for both SDTM and ADaM) Develop department programming standards to meet business needs and regulatory requirements, enabling efficient and seamless production of deliverables Develop innovative solutions to standardize, automate and optimized efficiency and quality Proactively addresses project uncertainties to minimize risk and alerts or escalates the issue to the appropriate person (project team member, lead biostatistician, or management), identifies, communicates, and overcomes technical and interpersonal obstacles Development and maintenance of tracking systems, folder systems and archival of analysis Contributes strategies that allow multi-tasking or efficient implementation to reduce execution time to meet deadlines in fast-paced environment Build a team of programmers to support ongoing pipeline expansion.

Perform review of Protocol, Case Report Forms, annotated Case Report Forms, Statistical Analysis Plan, and mock shell Develop and/or validate SDTM domains and ADaM datasets as per the specifications for both Safety and efficacy Develop and/or validate Tables, Listings, and Figures using SAP and mock shells Create or review P21 reports, define packages [Define.xml] and Reviewers guide [RGs] for CDISC Data Standards Ability to work independently and as part of a team environment Provide the status of assigned tasks to the Study Lead Programmer Actively participating in the study meetings and support as backup lead Identify, communicate, and manage study-based risks and issues within the timeframe Maintain supporting documentation for studies in accordance with SOPs, and Work Instructions (WI) to ensure traceability and regulatory compliance Contribute to the development of Statistical Programming standards and processes to improve the quality, productivity, and efficiency Adhere to learning and developing knowledge on the latest in CDISC Therapeutic standards, GCP, and applicable ICH guidelines Provide guidance, mentoring, and training for junior team members as appropriate Ensure audit readiness and quality control for all assigned statistical programming deliverables as well as the accuracy and reliability of statistical analysis results To ensure that the assigned team members are in compliance with SOPs and training requirements.

Title Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based SAS Programmer to join our Biostatistics team in India, Mumbai. This position will work on a team to accomplish tasks and projects that are instrumental to the company’s success. If you want an exciting career where you use your previous expertise and can develop and grow your career even further, then this is the opportunity for you. Overview Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 5,000 people across 40+ countries. Responsibilities Write SAS programs for use in creating analysis datasets, tables, listings, and figures Using SAS, program, validate and maintain mapped database Program edit checks for external data Coordinate communication and issues with Data Management regarding database specifications and data transfers Qualifications Bachelor / Master’s Degree in math, Statistics, health informatics, data science, computer science, or life sciences field SAS Ceritifcation SAS knowledge required and 1 to 2 years' experience is preferred Good English written/communication skills is required People. Purpose. Passion. Make a Difference Tomorrow. Join Us Today. The work we’ve done over the past 30+ years has positively impacted the lives of countless patients and families who face hundreds of diseases across all key therapeutic areas. The work we do today will improve the lives of people living with illness and disease in the future. Medpace Perks Flexible work environment Competitive compensation and benefits package Competitive PTO packages Structured career paths with opportunities for professional growth Company-sponsored employee appreciation events Employee health and wellness initiatives Awards Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023 and 2024 Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on expertise, quality, capabilities, reliability, and compatibility What to Expect Next A Medpace team member will review your qualifications and, if interested, you will be contacted with details for next steps.

Title Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Statistical Programming Manager to join our Biostatistics team in India, Mumbai. This position will work on a team to accomplish tasks and projects that are instrumental to the company’s success. If you want an exciting career where you use your previous expertise and can develop and grow your career even further, then this is the opportunity for you. Overview Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 5,000 people across 40+ countries. Responsibilities Provide support to project teams on programming matters; Manage programming staff, coordinate task assignments and review activities/progress to ensure high quality delivery; Provide leadership and training for the Programming group; Ensure all projects within the team meet objectives and timelines; and Lead the development of Programming standards, applications and processes to maximize efficiencies. Qualifications Bachelor/Master degree in statistics, mathematics, health informatics, computer science, or related field; Proficiency in SAS programming skills; 5 years of clinical programming experience; Strong communication skills and coordination skills; and Good leadership skills. People. Purpose. Passion. Make a Difference Tomorrow. Join Us Today. The work we’ve done over the past 30+ years has positively impacted the lives of countless patients and families who face hundreds of diseases across all key therapeutic areas. The work we do today will improve the lives of people living with illness and disease in the future. Medpace Perks Flexible work environment Competitive compensation and benefits package Competitive PTO packages Structured career paths with opportunities for professional growth Company-sponsored employee appreciation events Employee health and wellness initiatives Awards Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023 and 2024 Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on expertise, quality, capabilities, reliability, and compatibility What to Expect Next A Medpace team member will review your qualifications and, if interested, you will be contacted with details for next steps.

In this role you will be part of our Centre of Excellence team working specifically in SDTM therefore extensive experience and knowledge is required in this area. Location: Home-based What you'll be doing: Develops SAS programs to generate listings, tables and figures as outlined by mock TLF shells. Performs quality control (source code review, double-programming and log review) of SAS programs. Develops SAS programs to generate CDISC and other analysis data sets as outlined by respective specifications. Prepares specifications for CDISC and other analysis data sets. Assists Data Management with SAS programming needs. Acts as Lead Biostatistical Programmer to interact with the Lead Biostatistician and the study team. Develops and validates general SAS macros. What we are searching for: BS or equivalent from accredited college or university, in statistics, IT, mathematics or closely related field or work-related experience to be able to perform this role. 6-8 years of experience in SAS programming within the area of clinical trials. Prior experience using computerized information systems preferred. Knowledge of ICH and local regulatory authority drug research and development regulations preferred. Advanced knowledge of SAS Software data set architecture, utilities, and programming techniques. Demonstrated working knowledge of advanced SAS macro development and code generation/management algorithms.

Job Location: Ahmedabad Job Role for Biostatistician: 1. Provide inputs regarding sample size, study design, randomization and PK-statistical analysis in protocol. 2. Prepare randomization schedule using SAS for the project as per the protocol. 3. Perform and review statistical analysis of pharmacokinetic pharmacodynamic parameters using phoenix WinNonlin or SAS. 4. Prepare summary and final reports for the study. 5. Perform the validation of the SAS codes and softwares used for calculation and analysis of Pharmacokinetic and statistical data. 6. Maintain all necessary records for the reporting phase of the study. 7. Prepare inputs in sample analysis detail Preferred Candidate: M.Sc(Statistics) fresher candidate with basic understanding of BA/BE.

As a Principal Statistical Programmer, you'll be at the forefront of developing and validating programs that create datasets conforming to Alexion and ADaM specifications. Your expertise will drive the analysis of efficacy data through Tables, Listings, and Figures (TLFs). you'll ensure compliance with ICH guidelines, Good Clinical Practices, and regulatory requirements while leading programming efforts and representing Clinical and Statistical Programming in meetings with internal and external clients. As a mentor to other Statistical Programmers, you'll integrate statistical concepts with SAS Programming efficiently and optimally. Accountabilities: Develop and validate technical programming specifications for analysis datasets using Alexion or ADaM standards. Independently develop and validate programs that generate analysis datasets based on Alexion or ADaM specifications. Build and validate technical programming specifications for protocol-specific efficacy tables, listings, figures/graphs based on Protocol SAP. Independently develop and validate programs that generate efficacy tables, listings, figures/graphs using Alexion specifications. Supervise/manage external vendors and contract programmers. Be responsible for progress of programming activities. Review, maintain, and approve protocol-specific documents as vital. Provide guidance and mentoring to peer and junior-level Programmers. Act as the primary department contact to ensure implementation of department standards in all studies. Contribute ideas towards the optimization of standard operating procedures. Lead team meetings when appropriate. Engage in any other activities as required. Essential Skills/Experience: bachelors Degree (Minimum) or masters Degree or equivalent experience (Preferred) in Biostatistics, Statistics or another related field Minimum of 7 years of statistical programming experience in the Pharmaceutical, Biotechnology, or Contract Research Industry. Proven ability to: Develop and validate technical specifications and programs for safety and efficacy analysis datasets, tables, listings, and figures/graphs. Independently and collaboratively resolve problems Clearly communicate processes and standards with management and team members Expertise in using SAS/Base, SAS/Macro, SAS/STAT. Knowledge of SAS/Graph, and SAS/SQL Desirable Skills/Experience: SDTM and ADaM Relational Databases. Good Clinical Practices. Good Programming Practices. 21CFR Part 11 Standards. Integrated Summary Safety/Efficacy Analyses. Safety data and Coding Dictionaries (MedDRA and WHODD). ICH eCTD format.

Provide advanced technical expertise to develop and maintain programs to meet internal and external clients needs. Plan and lead the development of project-related solutions to the full scope of statistical programming tasks. Provide technical expertise to the Statistical Programming department. Essential Functions Perform and plan: (i) the programming, testing, and documentation of programs for use in creating statistical tables, figures and listing summaries, (ii) the programming of analysis databases (derived datasets) and transfers of data for internal and external clients. May perform and plan the programming of database quality control checks. Program the integration of databases from multiple studies or sources. Develop programming documentation including plans and specifications, as appropriate. Provide advanced technical expertise in conjunction with internal and external clients, and independently bring project solutions to teams and department. Perform and plan the development, implementation and validation of new process technologies, macros and applications. Fulfill project responsibilities at the level of statistical team lead for single studies, under supervision. Understand the Scope of Work, estimate the work completed, and manage Out of Scope for single studies. May manage budget and resource requirements and provide revenue and resource forecasts for single studies. May be required to understand budget and quote assumptions. Provide training and guidance to lower level and new staff. Qualifications Masters Degree Computer science or related field and 4 year relevant experience Req Or Bachelors Degree Computer science or related field and 5 years relevant experience Req Equivalent combination of education, training and experience Req Knowledge of statistics, programming and/or clinical drug development process Working knowledge of computing applications such as Base SAS, SAS/STAT and SAS Macro Language Good organizational, interpersonal, leadership and communication skills Ability to effectively handle multiple tasks and projects Excellent accuracy and attention to detail Ability to establish and maintain effective working relationships with coworkers, managers and clients

Role & responsibilities Collect, clean, and validate data from multiple sources to ensure quality and accuracy. Design and implement statistical models and methodologies to solve real-world problems. Analyze trends, patterns, and relationships in complex data sets. Develop and apply predictive and inferential models. Communicate findings through reports, visualizations, and presentations. Collaborate with cross-functional teams, including data scientists, researchers, business analysts, and management. Stay current with developments in statistical methodologies, software tools, and best practices. Provide guidance on experimental design and data collection strategies. Ensure compliance with data governance, privacy laws, and industry regulations. Preferred candidate profile Masters degree in Statistics, Mathematics, Data Science, or a related field (PhD preferred for advanced research roles). Proven experience in statistical analysis, modeling, and experimental design. Proficiency in statistical software such as R, SAS, Python, or SPSS. Strong knowledge of probability theory, hypothesis testing, regression, and multivariate analysis. Experience with data visualization tools (e.g., Tableau, Power BI, ggplot2, matplotlib). Excellent problem-solving, communication, and organizational skills. Ability to translate complex statistical concepts into actionable business insights.

Role & responsibilities Collect, clean, and validate data from multiple sources to ensure quality and accuracy. Design and implement statistical models and methodologies to solve real-world problems. Analyze trends, patterns, and relationships in complex data sets. Develop and apply predictive and inferential models. Communicate findings through reports, visualizations, and presentations. Collaborate with cross-functional teams, including data scientists, researchers, business analysts, and management. Stay current with developments in statistical methodologies, software tools, and best practices. Provide guidance on experimental design and data collection strategies. Ensure compliance with data governance, privacy laws, and industry regulations. Preferred candidate profile Masters degree in Statistics, Mathematics, Data Science, or a related field (PhD preferred for advanced research roles). Proven experience in statistical analysis, modeling, and experimental design. Proficiency in statistical software such as R, SAS, Python, or SPSS. Strong knowledge of probability theory, hypothesis testing, regression, and multivariate analysis. Experience with data visualization tools (e.g., Tableau, Power BI, ggplot2, matplotlib). Excellent problem-solving, communication, and organizational skills. Ability to translate complex statistical concepts into actionable business insights.

TCS is hiring for Statistical Programmer!!! Job Location Mumbai/Pune/Bengaluru Experience Range 4 to 14 Years Educational Qualification(s) Required Any Life Science Graduate Interested can share their CV on babeeta.shahi@tcs.com Roles & Responsibilities:- Creation and validation of analysis data sets, tables, listings and figures . Creation and validation of ISS and ISE reports. . Development and testing of reusable Standard Programs . Development of SAS macros to work as utilities to automate routine activities . Remapping of old studies into ADaM structure . Build and maintain ADaM compliant Repository . Creation and validation of ADaM specification document . Assistance in creation of regulatory submission documents

A productive, hands on programmer who applies technical knowledge and practical experience to deliver statistical programming deliverables to support assets and study teams with limited supervision early in role and independently later in role. Ensures excellence in th e programming of analysis ready datasets, tables, listings, and figures for which they are responsible Ensures adherence to high quality programming standards in their daily work. Accountable for the quality and timely delivery of datasets and displays required for their clinical study reports as well as other asset level deliverables they may be programming. Ensures appropriate documentation and QC across the lifespan of the study for all of their programming deliverables. Exhibi ts routine and occasionally complex problem solving skills, seeking direction when appropriate. Works with statisticians and programming leads to ensure clear specifications for their programmed deliverables are in place. Will be knowledgeable in core safe ty standards as well as TA standards pertinent to their project, may aid in development of standards necessary for their study May contribute to department level initiatives. QUALIFICATIONS Bachelor or Master (prefer red) Degree in Statistics, Biological Sciences, IT, or related field. At least 3 years relevant experience in a pharmaceutical, biotech, CRO, or Regulatory Agency. Statistical Programming and SAS hand - on experience Clinical trials expertise with an understanding of data operations required for the reporting of clinical trial data. Good understanding of ICH and regulatory guidelines Working knowledge of clinical data and relevant data standards Work Location Assignment: Flexible Work Location Assignment: Hybrid Medical #LI-PFE

Provide advanced technical expertise to develop and maintain programs to meet internal and external clients needs. Plan and lead the development of project-related solutions to the full scope of statistical programming tasks. Provide technical expertise to the Statistical Programming department. Essential Functions Perform and plan: (i) the programming, testing, and documentation of programs for use in creating statistical tables, figures and listing summaries, (ii) the programming of analysis databases (derived datasets) and transfers of data for internal and external clients. May perform and plan the programming of database quality control checks. Program the integration of databases from multiple studies or sources. Develop programming documentation including plans and specifications, as appropriate. Provide advanced technical expertise in conjunction with internal and external clients, and independently bring project solutions to teams and department. Perform and plan the development, implementation and validation of new process technologies, macros and applications. Fulfill project responsibilities at the level of statistical team lead for single studies, under supervision. Understand the Scope of Work, estimate the work completed, and manage Out of Scope for single studies. May manage budget and resource requirements and provide revenue and resource forecasts for single studies. May be required to understand budget and quote assumptions. Provide training and guidance to lower level and new staff. Qualifications Masters Degree Computer science or related field and 4 year relevant experience Req Or Bachelors Degree Computer science or related field and 5 years relevant experience Req Equivalent combination of education, training and experience Req Knowledge of statistics, programming and/or clinical drug development process Working knowledge of computing applications such as Base SAS, SAS/STAT and SAS Macro Language Good organizational, interpersonal, leadership and communication skills Ability to effectively handle multiple tasks and projects Excellent accuracy and attention to detail Ability to establish and maintain effective working relationships with coworkers, managers and clients

Coursera was launched in 2012 by Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 175 million registered learners as of March 31, 2025. Coursera partners with over 350 leading universities and industry leaders to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera s platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp. Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. Were seeking talented individuals who share our passion and drive to revolutionize the way the world learns. At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether its from home, one of our offices or hubs, or a co-working space near you. About the Role We at Coursera are seeking a highly skilled and motivated AI Specialist with expertise in developing and deploying advanced AI solutions. The ideal candidate will have 3+ years of experience, with a strong focus on leveraging AI technologies to derive insights, build predictive models, and enhance platform capabilities. This role offers a unique opportunity to contribute to cutting-edge projects that transform the online learning experience. Key Responsibilities Deploy and customize AI/ML solutions using tools and platforms from Google AI, AWS, or other providers. Develop and optimize customer journey analytics to identify actionable insights and improve user experience. Design, implement, and optimize models for predictive analytics , information extraction , semantic parsing , and topic modelling . Perform comprehensive data cleaning and preprocessing to ensure high-quality inputs for model training and deployment. Build, maintain, and refine AI pipelines for data gathering, curation, model training, evaluation, and monitoring. Analyze large-scale datasets, including customer reviews, to derive insights for improving recommendation systems and platform features. Train and support team members in adopting and managing AI-driven tools and processes. Document solutions, workflows, and troubleshooting processes to ensure knowledge continuity. Stay informed on emerging AI/ML technologies to recommend suitable solutions for new use cases. Evaluate and enhance the quality of video and audio content using AI-driven techniques. Qualifications Education: Bachelors degree in Computer Science, Machine Learning, or a related field (required). Experience: 3+ years of experience in AI/ML development, with a focus on predictive modelling and data-driven insights. Proven experience in deploying AI solutions using platforms like Google AI, AWS, Microsoft Azure, or similar. Proficiency in programming languages such as Python, Java, or similar for AI tool customization and deployment. Strong understanding of APIs, cloud services, and integration of AI tools with existing systems. Proficiency in building and scaling AI pipelines for data engineering, model training, and monitoring. Experience with frameworks and libraries for building AI agents, such as LangChain, AutoGen Familiarity with designing autonomous workflows using LLMs and external APIs Technical Skills: Programming: Advanced proficiency in Python, PyTorch, and TensorFlow, SciKit-Learn Data Engineering: Expertise in data cleaning, preprocessing, and handling large-scale datasets. Preferred experience with tools like AWS Glue , PySpark , and AWS S3 . Cloud Technologies: Experience with AWS SageMaker, Google AI, Google Vertex AI, Databricks Strong SQL skills and advanced proficiency in statistical programming languages such as Python, along with experience using data manipulation libraries (e.g., Pandas, NumPy). Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org. For California Candidates, please review our CCPA Applicant Notice here. For our Global Candidates, please review our GDPR Recruitment Notice here. #LI-Remote

Job Title: Senior Statistical Programmer II Career Level: D Introduction to role: Are you ready to make a significant impact in the world of rare disease biopharma? As a Senior Statistical Programmer II, youll be at the forefront of developing and validating programs that create datasets conforming to Alexion and CDISC standards. You will play a pivotal role in generating Tables, Listings, and Figures for analysis purposes. Depending on the complexity of the study, you may lead programming projects, ensuring adherence to ICH guidelines, Good Clinical Practices, and regulatory requirements. Your expertise will guide and mentor junior programmers, while your ability to integrate statistical concepts with SAS Programming will drive efficiency and effectiveness. Are you prepared to take on this challenge? Accountabilities: Support development of technical programming specifications for SDTM, ADS or ADaM standards. Independently develop and/or validate programs that generate SDTM, and analysis datasets based on Alexion or ADaM specifications. Support development and validate technical programming specifications for tables, listings, figures/graphs based on Protocol and SAP. Independently develop and validate programs that generate tables, listings, figures/graphs using Alexion specifications. Manage external vendors and contract programmers. Provide project progress updates of programming activities. Review, maintain, and approve protocol specific documents as necessary. Provide guidance and mentoring to peer, junior-level Programmers and contract staff. Support project leadership ensuring that department standards are implemented in all studies. Contribute ideas and thoughts towards the optimization of standard operating procedures. Lead team meetings when appropriate. Any other activities as required. Essential Skills/Experience: Minimum of 6 years of statistical programming experience in the Pharmaceutical, Biotechnology, or Contract Research Industry. Proven ability to: Develop and validate technical specifications and programs for safety and efficacy analysis datasets, tables, listings, and figures/graphs. Independently and collaboratively resolve problems. Clearly communicate processes and standards with management and team members. High competence in using SAS/Base, SAS/Macro, SAS/STAT. Knowledge of SAS/Graph, and SAS/SQL. Knowledge and implementation of: SDTM and ADaM principles. Relational Databases. Good Clinical Practice principles. Good Programming Practice principles. 21CFR Part 11 Standards principles. Integrated Summary Safety/Efficacy Analyses. Safety data and Coding Dictionaries (MedDRA and WHODD). ICH eCTD format. At AstraZeneca, youll find yourself immersed in a culture that thrives on innovation and collaboration. Our commitment to transforming complex biology into transformative medicines is unwavering. With a rapidly expanding portfolio in rare disease biopharma, youll have the chance to grow and innovate alongside exceptional leaders and peers. Our entrepreneurial spirit fosters autonomy and connection, empowering you to explore new ideas while meeting the needs of under-served patients worldwide. Here, your career is not just a path but a journey to making a difference where it truly counts. Ready to embark on this exciting journey with us? Apply now to join our team! 04-Jun-2025 04-Jun-2025 Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin an interactive dialogue with Alexion regarding an accommodation, please contact accommodations@Alexion.com . Alexion participates in E-Verify.

Position: Clinical Programmer Experience: 4-9 Years Job Location: Remote Job Description: Minimum of 4+ years of experience in clinical programming for clinical data management in the pharmaceutical or CRO industry. Experience working with different EDC systems (e.g., Medidata Rave, Veeva, Oracle Clinical). Proficient in Python /SAS for data manipulation & automation. Experience in data cleaning , querying , and performing manual & automated data checks to ensure data integrity. Hands-on experience in data visualization and dashboard creation using Power BI , Spotfire , or other BI tools. Thorough knowledge of Data Collection and industry data standards . A person with bachelors or masters degree in computer science, Life Sciences, Biostatistics, or related field.

Skill required: Delivery - Advanced Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Master of Engineering/Masters in Business Economics Years of Experience: 7 to 11 years What would you do? Data & AI You will be a core member of Accenture Operations global Data & AI group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. What are we looking for? Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience – Python or working knowledge on cloud native platforms like AWS Sagemaker is preferred Azure/ GCP Experience working with large data sets and big data tools like AWS, SQL, PySpark, etc. Solid knowledge in at least more than two of the following – Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc) Experience in working with Pricing models is a plus Experience in atleast one of these business domains:Energy, CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Quick Learner and Independently deliver results. Qualifications:Masters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines. Roles and Responsibilities: Building data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. Utilizing advanced statistical and machine learning techniques to develop models that can assist in decision-making and strategic planning. Refining and improving data science models based on feedback, new data, and evolving business needs. Data Scientists in Operations follow multiple approaches for project execution from adapting existing assets to Operations use cases, exploring third-party and open-source solutions for speed to execution and for specific use cases to engaging in fundamental research to develop novel solutions. Data Scientists are expected to collaborate with other data scientists, subject matter experts, sales, and delivery teams from Accenture locations around the globe to deliver strategic advanced machine learning / data-AI solutions from design to deployment. Qualifications Master of Engineering,Masters in Business Economics

Job Title: Principal Programmer - Data Science Systems Work Location: Manyata Tech Park, Bangalore, India Work Schedule: Three days on-site, two days remote (3/2) Career Level: E - Individual Contributor position. Introduction to role: Are you ready to make a difference in the world of data science? As a Principal Programmer in Data Science Systems, youll be at the forefront of developing ground breaking applications and methodologies within the Quantitative Sciences organization. Your strong technical, organizational, and project management skills will guide internal and external collaborators in implementing software tools and technologies that redefine clinical study development and execution. Collaborate with leaders in Programming, Biostatistics, Epidemiology, and Medical Writing to identify technology needs and streamline practices. Dive into the world of data science technologies to improve clinical analyses and operations. Accountabilities: Develop, maintain, implement, and manage applications using data science software within the QS organization. Coordinate project direction for internal and external projects in tool development and deployment. Lead life cycles of data science services including versioning, training, and documentation. Review and supervise change requests for data science applications. Find opportunities for new data science technologies to improve QS operations. Research alternative solutions to current problems with recommendations for efficient solutions. Implement standard methodologies in software development to improve quality and efficiency. Develop Standard Operating Procedures for regulatory deliverables using data science technologies. Serve as a liaison with Alexion IT for tool development using data science technologies. Represent QS Statistical Programming in cross-functional projects for innovative solutions. Act as a subject matter authority on data science technologies during audits. Provide training to DOQS and contracted staff for applications developed with data science technologies. Lead department data science environment for clinical study data analysis. Coordinate aspects of applications developed with data science technologies including licenses and user accounts. Serve as a statistical lead programmer contributing to project programming efforts. Develop and validate programming specifications for analysis datasets using Alexion standards. Independently develop programs generating analysis datasets based on specifications. Develop programming specifications for protocol-specific safety and efficacy tables. Independently develop programs generating safety and efficacy tables using Alexion specifications. Represent Alexion at conferences to present data science technology trends. Crucial Skills/Experience: BS/MS/MA in Statistics, Biostatistics, Computer Science, Data Science, Mathematics or related area. Advanced degree or equivalent experience with strong analytical skills is preferred. 6+ years data science or statistical programming experience in the pharmaceutical, biotech or CRO Industry. Some proven experience and solid understanding of data science technologies such as R, Python, C++, C#, Java or AI/machine learning. 2+ years project management experience in the biotech or pharmaceutical industry is required. Work experience and validated skills in the use of R or SAS within a Statistical Programming environment to develop and validate analysis datasets, tables, listings, and figures/graphs is required. Confirmed abilities to lead and handle cross-functional projects from concept to completion. Proficiency in the roles and responsibilities of all related subject areas within the QS department, with a focus on Biostatistics, Clinical Data Management, Epidemiology, and Medical Writing. Strong verbal and written communication skills with ability to clearly and effectively present information. Strong knowledge and understanding of software development with familiarity of a general programming language (i.e. C++, Java, Python, etc.), version control (Git), CI/CD platforms, open-source and private APIs, and various SDE tools. Experience with CDISC SDTM and ADaM models and clinical analysis reporting is preferred. Knowledge of clinical database design specifically electronic data capture and management, and the implementation of external data sources is preferred. Advanced experience with: Constructing technical programming specifications. Relational Databases. Good Clinical Practices. Good Programming Practices. 21CFR Part 11 Standards. Crafting all files necessary to support an electronic submission in the eCTD format. At AstraZenecas Alexion division, we champion diversity and foster an energizing culture where new ideas thrive. Our commitment to inclusion ensures that life-changing innovations can come from anywhere. We celebrate each others successes and take pride in giving back to our communities. Here, your career is more than just a path; its a journey to making a difference where it truly counts. Ready to make a difference? Apply now to join our team! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Date Posted 03-Jun-2025 Closing Date 09-Jun-2025 Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin an interactive dialogue with Alexion regarding an accommodation, please contact accommodations@Alexion.com . Alexion participates in E-Verify.

Job Title Lead Data Scientist Job Description Job Description About Signify Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting. Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond. At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals. Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career. Join us, and together, we'll transform our industry, making a lasting difference for brighter lives and a better world. You light the way. More about the role we're looking for a Data Scientist to work on Deep learning, machine learning, data mining, and statistical modelingfor providing predictive and prescriptive enterprise analytics. Successful candidates will be expected to guide a team of Data Scientists, investigate state of the art techniques in advanced machine learning and statistical modeling, and design, develop, and deploy state-of-art, scalable systems for innovative analytics applications across various functional areas (eg Finance, Sales, Marketing, Supply Chain, etc). Applicants will be expected to work with a diverse set of data sources, such as time series data, graph data, semi-structured and unstructured data, and build statistical / machine-learning / Deep Learning/Gen AI models in support of on-demand, real-time analytic services. The applicant should also have strong skills in explaining the analytic models and outcomes to business stakeholders. you'll be part of the Signify s Enterprise Data & Analytics team, based in Bangalore. More about you Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field 4+ years of hands-on experience in data science or a related field with demonstrated history of delivering analytics models and solutions Strong programming skills in Python, PySpark or other statistical programming languages Strong foundation in machine learning and deep learning algorithms and expertise in natural language processing (NLP) and computer vision techniques Experience with popular deep learning frameworks such as TensorFlow and PyTorch Research and explore the latest advancements in generative AI, including techniques like natural language processing (NLP), computer vision, and machine learning Develop and implement generative AI models and algorithms to address specific business challenges Train and fine-tune generative AI models using large datasets and industry-specific knowledge to improve accuracy and efficiency Knowledge of cloud platforms like AWS, GCP, or Azure Strong problem-solving skills, communication skills and the ability to think creatively and strategically with a focus on business outco Everything we'll do for you Opportunity to work on some of the highly complex and challenging business problems across a variety of functional and business domains. Competitive salary depending on experience. Extensive set of tools to drive your career, such as a personalized learning platform, training and coaching

Job Title: Senior Statistical Programmer II Career Level: D Introduction to role: Are you ready to take on a pivotal role in the development and validation of programs that create datasets conforming to Alexion and CDISC standards? As a Senior Statistical Programmer II, you will be at the forefront of crafting Tables, Listings, and Figures (TLFs) for analysis purposes. Depending on the projects size and complexity, you may lead programming efforts, ensuring alignment with ICH guidelines, Good Clinical Practices, and regulatory requirements. Youll also have the opportunity to mentor fellow programmers and represent Statistical Programming in meetings with internal and external clients. Are you prepared to integrate statistical concepts with SAS Programming efficiently and effectively? Accountabilities: Support development of technical programming specifications for SDTM, ADS, or ADaM standards. Independently develop and/or validate programs that generate SDTM and analysis datasets based on Alexion or ADaM specifications. Support development and validate technical programming specifications for tables, listings, figures/graphs based on Protocol and SAP. Independently develop and validate programs that generate tables, listings, figures/graphs using Alexion specifications. Manage external vendors and contract programmers. Provide project progress updates of programming activities. Review, maintain, and approve protocol-specific documents as necessary. Provide guidance and mentoring to peer, junior-level Programmers and contract staff. Support project leadership ensuring that department standards are implemented in all studies. Contribute ideas and thoughts towards the optimization of standard operating procedures. Lead team meetings when appropriate. Any other activities as required. Essential Skills/Experience: Minimum of 6 years of statistical programming experience in the Pharmaceutical, Biotechnology, or Contract Research Industry. Proven ability to: Develop and validate technical specifications and programs for safety and efficacy analysis datasets, tables, listings, and figures/graphs. Independently and collaboratively resolve problems. Clearly communicate processes and standards with management and team members. High competence in using SAS/Base, SAS/Macro, SAS/STAT. Knowledge of SAS/Graph, and SAS/SQL. Knowledge and implementation of: SDTM and ADaM principles. Relational Databases. Good Clinical Practice principles. Good Programming Practice principles. 21CFR Part 11 Standards principles. Integrated Summary Safety/Efficacy Analyses. Safety data and Coding Dictionaries (MedDRA and WHODD). ICH eCTD format. At AstraZeneca, youll find an environment where innovation thrives. Our commitment to rare diseases means your work will have a profound impact on patients lives. With a rapidly expanding portfolio, youll have the chance to grow alongside a team that values diversity, inclusiveness, and the power of connection. Here, your career is more than just a path its a journey towards making a meaningful difference. Ready to make an impact? Apply now to join our team! Date Posted 02-Jun-2025 Closing Date 02-Jun-2025 Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin an interactive dialogue with Alexion regarding an accommodation, please contact accommodations@Alexion.com . Alexion participates in E-Verify.

Write, test, and validate software programs in Unix and Databricks to create analysis datasets and presentation outputs for regulatory submissions and publications. Provide technical programming solutions and lead process improvements within the Centre for Observational Research (CfOR). Manage all programming activities, ensuring adherence to timelines, resources, and departmental standards. Review and approve programming plans, analysis dataset specifications, and key study-related documents. Develop and execute macros and utilities at department, product, and protocol levels. Participate in multidisciplinary project teams and represent programming in meetings and audits. Contribute to the development and review of CfOR policies, SOPs, and respond to audit findings. Support recruitment, staff performance management, and oversee assignments within the programming team. Collaborate globally on studies involving real-world data (RWD), statistical programming (SAS, R, SQL), and compliance with standards like OMOP and CDISC. Demonstrate strong communication, leadership, problem-solving, innovation, and continuous learning in a hands-on programming role.

Amgen is seeking a dedicated Associate Biostatistical Programmer to join our Center for Observational Research (CfOR) in Hyderabad. This pivotal role contributes to the generation of Real-World Evidence (RWE) to support Amgen products throughout the drug development lifecycle. You will collaborate across global teams to deliver timely, high-quality results by programming and analyzing real-world healthcare data assets. Key Responsibilities: Write, test, and validate programs in Unix and Databricks to generate analysis datasets, tables, and figures for regulatory submissions, publications, and internal use. Manipulate large real-world data (RWD) sets to support epidemiological studies. Identify and resolve programming issues; escalate when necessary. Lead and contribute to technical programming and process improvement initiatives within CfOR. Participate in multidisciplinary project team meetings representing the programming function. Adhere to departmental programming standards and project timelines. Write and review programming plans and analysis dataset specifications. Develop and execute macros and utilities at the department, product, and protocol levels. Support audits conducted by Clinical Quality Assurance (CQA) and respond to findings. Actively contribute to external conferences, professional forums, and internal knowledge-sharing activities. Collaborate in continuous improvement efforts across CfOR and Research and Development (R&D) . Basic Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field with 03 years of relevant experience, OR Diploma in a relevant field with 47 years of relevant experience Required Experience & Skills: Proficiency in SAS and SQL programming Hands-on experience with real-world healthcare data (RWD) , including: Claims databases (e.g., MarketScan, Optum Clinformatics, Medicare) Electronic Health Records (e.g., Flatiron, Optum EHR PanTher, CPRD, MDV) Strong analytical and data validation skills Experience with Statistical Analysis Plans (SAPs) and study-level programming Effective collaboration in a globally distributed team Preferred Qualifications: Experience with R and Python Familiarity with OMOP Common Data Model Exposure to Databricks and Unix environments Key Competencies: Expert-level programming using SAS or R Strong communication (verbal and written) in English Attention to detail and high-quality documentation Scientific and technical excellence Strong problem-solving and decision-making skills Collaborative mindset with global colleagues Adaptability and continuous learning orientation Leadership potential and innovation in process improvement Technologies & Tools: Programming Languages: SAS (required), SQL (required), R (preferred), Python (preferred) Platforms: Unix, Databricks Data Models: OMOP (preferred) Data Sources: MarketScan, Optum Clinformatics, Medicare, Flatiron, CPRD, MDV